Bifrost vs SGLang

Bifrost is an AI gateway and control plane for directing, governing, and securing traffic involving model calls, MCP tools, and agents. It connects to more than 20 AI providers through one OpenAI-compatible API. Routing tools include weighted load balancing, retries, automatic provider failover, and semantic caching. Virtual keys let teams apply permissions, budgets, rate limits, and routing rules by consumer. Bifrost can connect with external MCP servers and present their tools to clients such as Claude Desktop. Its documented SDK integrations include OpenAI, Anthropic, Google GenAI, LiteLLM, and LangChain. Request monitoring, Prometheus metrics, and OpenTelemetry tracing integrations provide observability. The free OSS edition is for developers, small teams, and self-managed deployments; it can run via NPX, Docker, Kubernetes, or Go binary. Enterprise adds SSO, role-based access, audit logs, guardrails, vault integrations, and private VPC deployments. Enterprise pricing is custom, with a 14-day trial on an enterprise license.

SGLang is a free, open-source inference framework for serving large language, vision-language and diffusion models. It targets agentic workloads, reinforcement-learning rollouts and large-scale serving, from one GPU to distributed clusters. Runtime features include RadixAttention, prefix caching and multi-GPU parallelism. Listed optimizations include disaggregated prefill and decode, speculative decoding, a zero-overhead scheduler and optimized GPU kernels. Supported models include DeepSeek, Qwen, GPT-OSS, Llama, Mistral and GLM. SGLang works with Hugging Face and OpenAI APIs and exposes OpenAI-compatible endpoints. It installs with pip or Docker and supports self-hosted deployment. Hardware support spans NVIDIA and AMD GPUs, Google TPUs, Intel GPUs and CPUs, Apple Silicon, Huawei Ascend NPUs and Moore Threads GPUs. SGLang Diffusion adds image and video generation. The Apache-2.0 license permits open-source use.